Frontier monitoring and topic analysis of lithium batteries based on BERTopic model

doi:10.19799/j.cnki.2095-4239.2024.0697

Abstract

Abstract:

The number of papers published in the field of lithium batteries is increasing rapidly, and increasingly diverse research topics are being explored. Against this backdrop, accurately monitoring the development trends and understanding the latest research directions in this field has become an increasingly complex task. By applying big data and machine-learning technologies, the BERTopic model was used to conduct text analysis on more than 180000 papers on the lithium battery from the Web of Science database. The topic landscape of this field of study was mapped, and emerging research topics and highly cited topics were identified. The results show that research on lithium batteries is significantly accelerating, and the emerging topics are lithium–sulfur batteries, dendrite growth inhibition, battery recycling, and metal recycling rapidly developing. Meanwhile, material research topics such as molybdenum disulfide nanomaterials and iron oxide electrode materials have significant academic influence. The study also discusses the monitoring of current lithium battery research topics by the "Reviews of selected 100 recent papers for lithium batteries", which has good coverage of most scientific and technological topics. This research provides a new method for topic monitoring in the field of lithium batteries, offering intelligence support for policy-making and technological development and providing references for subsequent research in the "Reviews of selected 100 recent papers for lithium batteries."

Key words: lithium batteries, BERTopic, emerging topics, highly cited topic, frontier monitoring

CLC Number:

TM 911

Hong ZHOU, Hailong YU, Liping WANG, Xuejie HUANG. Frontier monitoring and topic analysis of lithium batteries based on BERTopic model[J]. Energy Storage Science and Technology, 2025, 14(1): 406-416.

Figures/Tables 6

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